4D printing soft robotics for biomedical applications

Hann, Sung Yun; Cui, Haitao; Nowicki, Margaret; Zhang, Lijie Grace

doi:10.1016/j.addma.2020.101567

Cited by 98 publications

(78 citation statements)

References 63 publications

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“…(2) 4D printing of soft robotics can replicate natural physiomechanical changes over time leading the transition from static to dynamic, with precise controllability and unlimited reversible actuation [141] (3) Machine learning methods and artificial intelligence are used to train robots to reliably perform their assigned tasks and even to be able to reason about current events and new information in order to adapt to new situations (4) The flexibility and motor functions of robotic arms need further technical advancements to suit different individual clinical situations (5) For arch wire bending robots, the research in the future needs to focus on the arch wire spring back and bending algorithm, adapting bending to more complicated clinical arch wires, as well as improvement of plier design for dexterous collision avoidance [86] (6) Friendly human-computer interaction software is designed to provide humanization input and feedback for the operators (7) Advanced self-conscious robot control by patients using surface EMG (sEMG) signal of the facial muscles is developed to guide the actuation of the robot [127] (8) Further prospective studies with larger numbers of patients and longer follow-up periods are required to confirm the success and the evolution of OA compliance patterns over time [45] (9) Orthodontic material testing is done by robots…”

Section: Orthodontic Applications Of Robotics: Crystalmentioning

confidence: 99%

Robotic Applications in Orthodontics: Changing the Face of Contemporary Clinical Care

Adel

Zaher

Harouni

et al. 2021

BioMed Research International

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The last decade (2010-2021) has witnessed the evolution of robotic applications in orthodontics. This review scopes and analyzes published orthodontic literature in eight different domains: (1) robotic dental assistants; (2) robotics in diagnosis and simulation of orthodontic problems; (3) robotics in orthodontic patient education, teaching, and training; (4) wire bending and customized appliance robotics; (5) nanorobots/microrobots for acceleration of tooth movement and for remote monitoring; (6) robotics in maxillofacial surgeries and implant placement; (7) automated aligner production robotics; and (8) TMD rehabilitative robotics. A total of 1,150 records were searched, of which 124 potentially relevant articles were retrieved in full. 87 studies met the selection criteria following screening and were included in the scoping review. The review found that studies pertaining to arch wire bending and customized appliance robots, simulative robots for diagnosis, and surgical robots have been important areas of research in the last decade (32%, 22%, and 16%). Rehabilitative robots and nanorobots are quite promising and have been considerably reported in the orthodontic literature (13%, 9%). On the other hand, assistive robots, automated aligner production robots, and patient robots need more scientific data to be gathered in the future (1%, 1%, and 6%). Technological readiness of different robotic applications in orthodontics was further assessed. The presented eight domains of robotic technologies were assigned to an estimated technological readiness level according to the information given in the publications. Wire bending robots, TMD robots, nanorobots, and aligner production robots have reached the highest levels of technological readiness: 9; diagnostic robots and patient robots reached level 7, whereas surgical robots and assistive robots reached lower levels of readiness: 4 and 3, respectively.

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Section: Orthodontic Applications Of Robotics: Crystalmentioning

confidence: 99%

Robotic Applications in Orthodontics: Changing the Face of Contemporary Clinical Care

Adel

Zaher

Harouni

et al. 2021

BioMed Research International

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“…With the introduction of a fourth dimension, i.e. , ‘time,’ the 4D printing technology allows both spatial and temporal control over the fabricated constructs, better mimicking dynamic tissue responses towards certain natural stimuli ( Tamay et al, 2019 ; Hann et al, 2020 ). Though this technology is still in its infancy, it has already succeeded in placing a landmark in the sphere of biomedical research, holding promising prospects for further advancements in the near future.…”

Section: Future Outlookmentioning

confidence: 99%

Tackling Current Biomedical Challenges With Frontier Biofabrication and Organ-On-A-Chip Technologies

Celikkin

Presutti

Maiullari

et al. 2021

Front. Bioeng. Biotechnol.

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In the last decades, biomedical research has significantly boomed in the academia and industrial sectors, and it is expected to continue to grow at a rapid pace in the future. An in-depth analysis of such growth is not trivial, given the intrinsic multidisciplinary nature of biomedical research. Nevertheless, technological advances are among the main factors which have enabled such progress. In this review, we discuss the contribution of two state-of-the-art technologies–namely biofabrication and organ-on-a-chip–in a selection of biomedical research areas. We start by providing an overview of these technologies and their capacities in fabricating advanced in vitro tissue/organ models. We then analyze their impact on addressing a range of current biomedical challenges. Ultimately, we speculate about their future developments by integrating these technologies with other cutting-edge research fields such as artificial intelligence and big data analysis.

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“…The evolution of autonomous, untethered soft robots is still unfeasible. Another interesting development of late is formed by 4D-printed origami-robotic or soft robotic systems Hann et al (2020); de Marco et al (2018). This technology enables robots capable of dynamic morphological changes driven by environmental stimuli.…”

Section: State Of the Artmentioning

confidence: 99%

Real-World Robot Evolution: Why Would it (not) Work?

Eiben

2021

Front. Robot. AI

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This paper takes a critical look at the concept of real-world robot evolution discussing specific challenges for making it practicable. After a brief review of the state of the art several enablers are discussed in detail. It is noted that sample efficient evolution is one of the key prerequisites and there are various promising directions towards this in different stages of maturity, including learning as part of the evolutionary system, genotype filtering, and hybridizing real-world evolution with simulations in a new way. Furthermore, it is emphasized that an evolutionary system that works in the real world needs robots that work in the real world. Obvious as it may seem, to achieve this significant complexification of the robots and their tasks is needed compared to the current practice. Finally, the importance of not only building but also understanding evolving robot systems is emphasised, stating that in order to have the technology work we also need the science behind it.

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4D printing soft robotics for biomedical applications

Cited by 98 publications

References 63 publications

Robotic Applications in Orthodontics: Changing the Face of Contemporary Clinical Care

Robotic Applications in Orthodontics: Changing the Face of Contemporary Clinical Care

Tackling Current Biomedical Challenges With Frontier Biofabrication and Organ-On-A-Chip Technologies

Real-World Robot Evolution: Why Would it (not) Work?

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